Methods

The methods for calculating data inventory metrics and generating composite scores are identical to those used in the first Blue Carbon Data Inventory Report. The figure from the original analysis has been revised to reflect the updates that were applied to existing datasets. See documentation from CCN Database Version 1.1.0 for full list of updates. All analyses were run using the most current version of the CCN database (V1.1.0). In order to recalculate the metrics from the initial inventory, this dataset was filtered to only include the data which were present in the previous database version (V1.0.0).

Data Inventory 2022

Report Card

Composite Score Map

Data Inventory 2023

Report Card

Composite Scores Map

Metric Score Overview

State Data Quality

This figure provides a more detailed look at the utility and completeness of the soil carbon data which is available for each state. The use category Stocks refers to soil cores which contain information that can be used to calculate carbon stock. For stocks, good indicates that carbon stock data is complete but not confirmed to represent the full wetland profile, and best indicates that carbon stock data is complete and represents a full profile. The carbon accumulation rate (CAR) category refers to soil cores wtih dated stratigraphy. In this category, good indicates the dating information is present but not complete, and best indicates that dating information is both present and complete. Lastly, the Modeling category refers to soil cores with both dated stratigraphy and associated elevation data, which is useful for modeling and forecasting wetland dynamics. In this category, good indicates that either (1) elevation data is low quality and dating information is present or (2) elevation data is high quality but dating information is incomplete. Soil cores that qualify for best in this category have high quality elevation data and complete dating information. See Section 3.1 of the original data inventory report for more information.

Notes: These categories are not mutually exclusive, because a single profile may possess information which is relevant to all three use categories. Also note that Y-axes are scaled differently for each state.

State Habitat Representativeness

Data Inventory Change

To demonstrate the change between the initial and second data inventory, the difference in score was calculated for each of the four metrics (quality, quantity, habitat coverage, and spatial coverage).

Quantity

Quality

Spatial Coverage

Habitat Coverage

Database Citation

Coastal Carbon Network (2023). Database: Coastal Carbon Library (Version 1.1.0). Smithsonian Environmental Research Center. Dataset. https://doi.org/10.25573/serc.21565671